From e33dd467be78ea9af32737adefbafa040c3d491e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Sun, 17 May 2026 19:51:49 +0000 Subject: [PATCH] chore: update docs/aws-data.md [20260517-1948] --- docs/aws-data.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/aws-data.md b/docs/aws-data.md index bfdd566a..797580f5 100644 --- a/docs/aws-data.md +++ b/docs/aws-data.md @@ -8,17 +8,17 @@ - [aws.amazon.com/big-data](http://aws.amazon.com/big-data) - [blogs.aws.amazon.com/bigdata](http://blogs.aws.amazon.com/bigdata/) -- [Querying Amazon Kinesis Streams Directly with SQL and Spark Streaming](https://aws.amazon.com/blogs/big-data/querying-amazon-kinesis-streams-directly-with-sql-and-spark-streaming/) +- [Querying Amazon Kinesis Streams Directly with SQL and Spark Streaming](https://aws.amazon.com/blogs/big-data/querying-amazon-kinesis-streams-directly-with-sql-and-spark-streaming//) - [Using Spark SQL for ETL](http://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL) -- [whizlabs.com: AWS Kinesis vs Kafka Apache](https://www.whizlabs.com/blog/kinesis-vs-kafka/) +- [whizlabs.com: AWS Kinesis vs Kafka Apache](https://www.whizlabs.com/blog/kinesis-vs-kafka//) ## AWS Data Lake -- [Building a Data Lake on AWS](https://aws.amazon.com/big-data/data-lake-on-aws/) AWS provides a highly scalable, flexible, secure, and cost-effective solution for your organization to build a Data Lake – a data repository for both structured and unstructured data that is designed to be easily accessible for on-demand data analytics enabling you to answer questions as they arise. +- [Building a Data Lake on AWS](https://aws.amazon.com/what-is/data-lake//) AWS provides a highly scalable, flexible, secure, and cost-effective solution for your organization to build a Data Lake – a data repository for both structured and unstructured data that is designed to be easily accessible for on-demand data analytics enabling you to answer questions as they arise. ## AWS Data Pipeline (aka Big Data Pipelines or Data Streams) -- [AWS Data Pipeline](https://aws.amazon.com/datapipeline/) -- [AWS Data Pipeline Documentation](https://docs.aws.amazon.com/data-pipeline/index.html) +- [AWS Data Pipeline](https://aws.amazon.com/glue//) +- [AWS Data Pipeline Documentation](https://docs.aws.amazon.com/data-pipeline/) - [medium: No-Code Data Collect API on AWS](https://medium.com/@dima.statz_89242/no-code-data-collect-api-on-aws-d79e3681d204) A No-Code Data Collections mechanism for Big Data Pipelines on AWS. -- [AWS Big Data Blog: Category - AWS Data Pipeline](https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-pipeline/) +- [AWS Big Data Blog: Category - AWS Data Pipeline](https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-pipeline//)